Akamai mPulse vs. Twilio Segment

In general, if you manage a website, you must have a real user monitoring tool. mPulse is one of the leaders in the market, so if you use this product, you can count on the reliability of the product itself. Personally, I think that if you need to collect technical KPIs, mPulse is a good choice. If on top of technical metrics, you want to collect also business KPIs, potentially there are other products doing this better.

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Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application

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• Real time data: you can know in real time how your website is performing.
• "What if" functionality to choose, from a business point of view, the right web pages to improve
• Understanding what are the slow pages and seeing the impact on the global performance from a technical and a business point of view.
• Waterfall functionality - possibility to go in details to a specific session.

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• Multi-platform. Segment has easy integrations in many different web, backend, and app platforms/frameworks. We use the Segment SDK in Android and iOS as well as our node.js backend.
• Segment is fairly affordable for early-stage companies that are trying out different analytics software. The "developer" plan is free and is suitable for most companies with products that have a small user base.
• The UI is great! It is extremely intuitive and easy-to-learn, and this made it take very little time to integrate this software into our analytics and marketing workflows.

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• The creation of a specific dashboard is not easy. You can leverage the available dashboards but if you need something else is not so easy to achieve.
• Old UI - the look and feel of the product should be improved. It seems very old.

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• More and richer sources. For example, MailChimp is a source but the data you get from MailChimp is quite limited. I ended up writing my own scripts to take better advantage of MailChimp's API because Segment's integration was lacking.
• Better examples on how to set up event tracking. Pageview tracking is easy enough, but it would be nice if they had a sample app and corresponding code for it and showed you, via Git commits, how to add various kinds of events.

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Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.

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Generally speaking, both products allow you to not be blind on your website. Easily, you can see how your website is performing. At the moment, Blue Triangle is better than Akamai for the business part (there are more business metrics collected and many more available dashboards for consuming this kind of data). Moreover, the look and feel and the usability of the Blue Triangle portal is better than Akamai one.

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We chose Twilio Segment for the good API integration and node resources, I would use Ontraport again, particularly if I didn't have the requirements for API and development/platform integration. Certainly the set up and management is easy and seamless with both the API and the user interface to use depending on circumstances and requirements.

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• Choose the right pages to optimize.

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• Segment has enabled us to get a full view of our front end activity, join it to our back-end activity, and get full visibility into our funnels and user activity.
• Segment lets us send events to ad tools with a full audit trail so all the numbers line up.
• Segment also brings data from other sources into our data warehouse, saving our data engineering time from building commodity connectors.